
A growing selloff in artificial intelligence infrastructure stocks continued on Wall Street as investors reassessed whether massive spending on data centers chips and cloud capacity will ultimately deliver acceptable returns. Companies most closely tied to the physical backbone of AI including Broadcom Oracle and CoreWeave faced renewed pressure on Monday extending steep declines from the prior week.
While all three companies remain up significantly on a year to date basis the recent trend signals a shift in market psychology. Investors appear increasingly focused on profitability timelines balance sheet risk and the sustainability of capital intensive growth rather than headline demand for AI services.
Broadcom shares fell 5.6 percent on Monday following an 11 percent drop on Friday leaving the stock roughly 18 percent below the record high reached just days earlier. Oracle declined another 2.7 percent and is now down about 17 percent over the past three sessions. Since its September peak the stock has lost approximately 46 percent of its market value erasing gains that followed earlier disclosures of a massive AI related backlog.
CoreWeave which went public in March and operates cloud infrastructure built largely on Nvidia graphics processing units dropped about 8 percent on Monday after falling 11 percent last week. The stock is now more than 60 percent below its June high highlighting how quickly sentiment has shifted in this segment of the market.
The pullback follows quarterly earnings from Broadcom and Oracle that exceeded revenue expectations and reinforced the narrative of surging AI demand. However markets reacted negatively to the scale of spending required to meet that demand and the limited clarity around returns on investment.
Oracle disclosed plans to ramp capital expenditures to roughly 50 billion dollars in the current fiscal year up from a prior forecast of 35 billion dollars driven by new contracts with major customers such as Meta and Nvidia. The company has also significantly expanded its long term commitments. As of Nov. 30 Oracle reported 248 billion dollars in lease obligations tied to data centers and cloud capacity running for 15 to 19 years a 148 percent increase from the end of August.
Investors have expressed concern over how those commitments will be financed. Oracle has become increasingly reliant on debt markets yet offered few specifics on funding strategy during its earnings call fueling worries about leverage and financial flexibility.
At Broadcom demand indicators remain robust. Chief Executive Hock Tan said AI chip sales are expected to double year over year this quarter to about 8.2 billion dollars driven by both custom accelerators and networking semiconductors used in AI systems.
However that growth comes at a cost. As Broadcom expands production of full server rack solutions and related components near term profitability is expected to suffer. Chief Financial Officer Kirsten Spears warned that gross margins will be lower for some AI chip systems as the company absorbs higher manufacturing and integration costs. For investors already uneasy about spending intensity the margin outlook added to selling pressure.
Concerns around leverage have become a focal point for the market. Venture capitalist Tomasz Tunguz noted that Oracle’s aggressive financing has pushed its debt to equity ratio to roughly 500 percent far exceeding cloud peers. By comparison Amazon Microsoft Meta and Google maintain ratios ranging from about 7 percent to 23 percent reflecting far more conservative balance sheets.
CoreWeave also stands out with a debt to equity ratio estimated around 120 percent underscoring how capital hungry AI infrastructure providers can become as they race to deploy compute capacity ahead of demand. These figures have heightened fears that even modest slowdowns in AI spending could strain highly leveraged business models.
Despite the selloff some investors argue that the long term thesis remains intact. Matt Witheiler head of late stage growth at Wellington Management said the key question is whether returns ultimately justify the investment scale. He noted that many AI driven businesses claim additional compute directly translates into higher revenue suggesting that demand fundamentals remain strong.
Still markets appear unwilling to give infrastructure providers the benefit of the doubt without clearer visibility into cash flow generation and payback periods. The recent declines reflect a broader recalibration as investors separate AI demand growth from the economics required to sustain it.
The ongoing pullback suggests that AI infrastructure stocks may remain volatile as earnings season continues and companies refine guidance on spending margins and financing. Near term performance is likely to hinge less on demand headlines and more on balance sheet discipline and evidence that massive investments can translate into durable profits.
For now Wall Street appears to be signaling that enthusiasm for AI remains high but patience for unchecked capital spending is wearing thin.







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